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Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems

2021-09-17 15:26:48
Daniel Bogdoll, Stefan Orf, Lars Töttel, J. Marius Zöllner

Abstract

Corner cases for driving automation systems can often be detected by the system itself and subsequently resolved by remote humans. There exists a wide variety of technical approaches on how remote humans can resolve such issues. Over multiple domains, no common taxonomy on those approaches has developed yet, though. As the scaling of automated driving systems continues to increase, a uniform taxonomy is desirable to improve communication within the scientific community, but also beyond to policymakers and the general public. In this paper, we provide a survey on recent terminologies and propose a taxonomy for remote human input systems, classifying the different approaches based on their complexity

Abstract (translated)

URL

https://arxiv.org/abs/2109.08599

PDF

https://arxiv.org/pdf/2109.08599.pdf


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